The Linked Construction of Educational Resources Based on the Built-in Text Matching

DOI

10.2991/icetis-13.2013.104How to use a DOI?

Keywords

Linked data;RDF;Knowledge Ontology;Non-mapping Linking;

Abstract

The continuous development of the Linked Data Web depends on the advancement of the relationships extraction mechanisms. This is of particular interest for the linked constructions, where currently most of the data sets are being created manually. In this article, we present built-in text matching table that enables the automatic extraction of non-mapping links between entities. (i.e., concepts, attributes and attribute values, etc.) from resourced. The experimental evaluation shows that our solution handles very well any type of Linked Course Data and improves the average extraction performance of the state of the art with around 4%, in addition to showing an increased versatility. Finally, we propose a flexible Linked Course Data -driven mechanism to be used both for refining and linking the non-mapping links between entities .

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Huang
AU  - Chanle Wu
PY  - 2013/06
DA  - 2013/06
TI  - The Linked Construction of Educational Resources Based on the Built-in Text Matching
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 464
EP  - 467
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.104
DO  - 10.2991/icetis-13.2013.104
ID  - Huang2013/06
ER  -